The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

submax: Effect Modification in Observational Studies Using the Submax Method

Effect modification occurs if a treatment effect is larger or more stable in certain subgroups defined by observed covariates. The submax or subgroup-maximum method of Lee et al. (2017) <doi:10.48550/arXiv.1702.00525> does an overall test and separate tests in subgroups, correcting for multiple testing using the joint distribution.

Version: 1.1.1
Imports: stats, mvtnorm, sensitivityfull
Published: 2017-12-14
DOI: 10.32614/CRAN.package.submax
Author: Paul R. Rosenbaum
Maintainer: Paul R. Rosenbaum <rosenbaum at wharton.upenn.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: submax results

Documentation:

Reference manual: submax.pdf

Downloads:

Package source: submax_1.1.1.tar.gz
Windows binaries: r-devel: submax_1.1.1.zip, r-release: submax_1.1.1.zip, r-oldrel: submax_1.1.1.zip
macOS binaries: r-release (arm64): submax_1.1.1.tgz, r-oldrel (arm64): submax_1.1.1.tgz, r-release (x86_64): submax_1.1.1.tgz, r-oldrel (x86_64): submax_1.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=submax to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.